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math.ST2025
On the Private Estimation of Smooth Transport Maps
Clément Lalanne, Franck Iutzeler, Jean-Michel Loubes +1
Estimating optimal transport maps between two distributions from respective samples is an important element for many machine learning methods. To do so, rather than extending discr…
math.ST2024
Locally sharp goodness-of-fit testing in sup norm for high-dimensional counts
Subhodh Kotekal, Julien Chhor, Chao Gao
We consider testing the goodness-of-fit of a distribution against alternatives separated in sup norm. We study the twin settings of Poisson-generated count data with a large number…
math.ST2022★ 2 cited
Robust Estimation of Discrete Distributions under Local Differential Privacy
Julien Chhor, Flore Sentenac
Although robust learning and local differential privacy are both widely studied fields of research, combining the two settings is just starting to be explored. We consider the prob…